Covid-19 Analysis

This notebook explores key trends and patterns in COVID-19 incidence and vaccination data. It analyzes infection rates by age groups, identifying which demographics experienced the highest infection rates, and tracks changes in infection and mortality rates over time to assess the impact of vaccination campaigns. Vaccination uptake is examined across demographics, highlighting gender-based differences and prioritization of high-risk groups, such as older adults. Additionally, the notebook studies vaccine dosage and preparation efficiency, identifying trends and shifts in vaccine administration over time. The effectiveness of vaccination facilities is also evaluated by exploring differences in COVID-19 case reductions across regions served by specific facilities. Hypothetical herd immunity thresholds are modeled to estimate the level of immunity achieved through vaccination and natural recovery. Finally, the notebook applies deep learning methods, including RNN, LSTM, BiLSTM, and GRU models, to forecast COVID-19 incidence data, providing valuable predictions for understanding the potential future trajectory of the pandemic.